Efficiency and Fairness in P2P Transactions with Variable Pricing for Electricity

With the promotion of renewable energy projects, there has been a growing emphasis on decentralized models in the electricity trading system instead of centralized transactions. One of the models gaining attention in decentralization is Peer-to-Peer (P2P) trading. By leveraging P2P trading, not only power utilities but also general consumers participating in the market can secure effective benefits. In this study, using P2P trading, we propose an optimal method considering fairness to ensure improvement in the interests of each consumer without monopolization of benefits within the market. The methodology covers both single-objective and multi-objective optimization. For multi-objective optimization, we will employ evolutionary algorithms. Additionally, as a differentiation from prior research, we approach the electricity unit cost as real-world data, utilizing it as a variable data.